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When API providers return Pydantic-style validation errors where
body['message'] or body['error']['message'] is a dict (e.g.
{"detail": [...]}), the error classifier was crashing with
AttributeError: 'dict' object has no attribute 'lower'.
The 'or ""' fallback only handles None/falsy values. A non-empty
dict is truthy and passes through to .lower(), which fails.
Fix: Wrap all 5 call sites with str() before calling .lower().
This is a no-op for strings and safely converts dicts to their
repr for pattern matching (no false positives on classification
patterns like 'rate limit', 'context length', etc.).
Closes #11233
28 KiB
28 KiB